scholarly journals Intelligent Agents for Social and Learning Logistics Systems

2021 ◽  
pp. 91-107
Author(s):  
Otthein Herzog ◽  
Ingo J. Timm
Keyword(s):  
Multiagent Systems ◽  
Decentralized Control ◽  
Intelligent Agents ◽  
Essential Feature ◽  
Monitoring And Control ◽  
Social Communities ◽  
Distributed Models ◽  
Logistics Systems ◽  
Global Logistics ◽  
And Control

AbstractThe digitalization of logistics processes is often based on distributed models and decentralized control. As these logistics models constitute an important part of Industrie 4.0 concepts they must be powerful enough to cover dynamic processes and must enable a host of functions such as goal-oriented, reactive, pro-active, communicative, cooperative, competitive, and learning behaviors. In addition, these distributed models must allow for simulating, planning, allocating, scheduling, and optimizing logistics tasks. This implies that they must be able to act through communication channels with each other thus establishing logistics social communities.Multiagent Systems (MAS) have been around for more than 30 years and lend themselves to the implementation of these distributed models needed for autonomous and cooperating logistics processes. It will be described and also demonstrated by three case studies why MAS are well suited for social and learning logistics systems. It will be shown how the resulting distributed MAS models provide the required functionalities for production and transportation logistics including the handling of dynamic local events as an essential feature for the successful planning, scheduling, optimizing, monitoring, and control of global logistics processes.

The CARINA Metacognitive Architecture

2019 ◽  
Vol 13 (4) ◽  
pp. 71-90
Author(s):  
Manuel Fernando Caro ◽  
Darsana P Josyula ◽  
Dalia Patricia Madera ◽  
Catriona M Kennedy ◽  
Adán A Gómez
Keyword(s):  
Intelligent Agents ◽  
Intelligent Systems ◽  
Intelligent Tutoring System ◽  
Failure Detection ◽  
Monitoring And Control ◽  
Level Control ◽  
Functional Elements ◽  
Metacognitive Control ◽  
Meta Level ◽  
And Control

Metacognition has been used in artificial intelligence to increase the level of autonomy of intelligent systems. However, the design of systems with metacognitive capabilities is a difficult task due to the number and complexity of processes involved. The main objective of this article is to introduce a novel metacognitive architecture for monitoring and control of reasoning failures in artificial intelligent agents. CARINA metacognitive architecture is based on precise definitions of structural and functional elements of metacognition as defined in the MISM meta-model. CARINA can be used to implement real-world cognitive agents with the capability for introspective monitoring and meta-level control. Introspective monitoring detects reasoning failure (for example, when expectation is violated). Metacognitive control selects strategies to recover from failures. The article demonstrates a CARINA implementation of reasoning failure detection and recovery in an intelligent tutoring system called FUNPRO.

scholarly journals DIGITAL TECHNOLOGIES OF TRANSPORTATION AND LOGISTICS SYSTEMS VISIBILITY

2019 ◽  
pp. 20-26
Author(s):  
A. V. Dmitriev
Keyword(s):  
Information And Communication Technologies ◽  
Focal Point ◽  
Legal Framework ◽  
Digital Information ◽  
Monitoring And Control ◽  
Logistics Systems ◽  
Information And Communication ◽  
Management Concept ◽  
Control Orders ◽  
And Control

The article discusses the introduction of digital traceability technologies in transport and logistics systems, examines the legal framework for digital labeling and traceability of goods, substantiates the platform management concept of transport and logistics systems. According to this concept, the focal point of the transport chain is not the logistics operator, but an integrated digital platform management of transport and cargo flows, uniting all participants and providing a high degree of s transparency and traceability through the supply chain, evaluated the efficiency of the transport and logistics systems based on extensive use of modern digital information and communication technologies, with which it is possible to control orders to carry out the planning, organization, monitoring and control throughout the delivery procedure of goods

Computers for data, control and simulation

1988 ◽  
Vol 46 ◽  
pp. 920-921
Author(s):  
David C. Joy
Keyword(s):  
Personal Computers ◽  
Monitoring And Control ◽  
Data Logging ◽  
Data Logger ◽  
Operational Conditions ◽  
Data Control ◽  
The Many ◽  
And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

The magnitude and cost of groundwater monitoring and control in agriculture.

2016 ◽  
Author(s):  
Giacomo Giannoccaro ◽  
Armando Ursitti ◽  
Maurizio Prosperi
Keyword(s):  
Groundwater Monitoring ◽  
Monitoring And Control ◽  
And Control

MONITORING AND CONTROL OF THE “ANIMAL” SUBSYSTEM IN THE COMPLEX BIOTECHNICAL SYSTEM “MAN-MACHINE-ANIMAL” OF A DAIRY FARM

2020 ◽  
pp. 4-10
Author(s):  
VLADIMIR V. KIRSANOV ◽  
◽  
DMITRIY YU. PAVKIN ◽  
FEDOR E. FEDOR E. VLADIMIROV ◽  
EVGENIY А. NIKITIN ◽  
...  
Keyword(s):  
Dairy Farm ◽  
Animal Husbandry ◽  
Reproductive Organs ◽  
Monitoring And Control ◽  
Lactating Cows ◽  
Research Activities ◽  
Mutual Adaptation ◽  
Biotechnical System ◽  
Complex Project ◽  
And Control

A modern dairy farm is a complex biotechnical “man-machine-animal” system, where purposeful human activity concentrates mainly on the control of the “machine” and “animal” subsystems, thus making the whole system ergatic. Increasing the interaction effi ciency of machine subsystems with biological objects (animals) requires an in-depth study of the properties and characteristics of the latter, their behavior, adaptive and refl ex mechanisms that ensure the mutual adaptation of machine and biological subsystems. The paper considers general functionality of the “animal” subsystem, which includes lists of monitored parameters (functions) in pre-weaning, pre-lactation and lactation periods. In a similar way, functionals of the subsystems of the general musculoskeletal development of the animal’s body, respiratory and digestive organs, comfort of the habitat, development and control of the reproductive organs of lactating cows were obtained accompanied with a list of controlled functions and parameters. To carry out a set of research activities in this fi eld, FSAC VIM is planning to carry out a complex project that will increase the levels of automation, digitalization and intellectualization of animal husbandry, provide for comfortable environment, optimal rediced-impact service modes for animals and their extended productive longevity, increased quality of milk and autonomous functioning of individual local biotechnical subsystems.

The Threats of Ukraine Financial Security: Identification and Systemization

2019 ◽  
pp. 73-80
Author(s):  
Oleksandra Maslii ◽  
Andrii Maksymenko ◽  
Svitlana Onyshchenko
Keyword(s):  
Financial Stability ◽  
System Development ◽  
Financial System ◽  
Economic Security ◽  
The State ◽  
Financial Security ◽  
Monitoring And Control ◽  
Development Indicators ◽  
Security Indicators ◽  
And Control

Place of monitoring and control of risks of financial stability of the state in the system of ensuring financial security of the state was substantiated. Methods of identifying threats to Ukraine's financial security through the current and strategic analysis of financial system development indicators were considered. Tendencies of economic development of Ukraine in the context of revealing sources of threats to financial stability of the state were analyzed. Dynamic analysis of the actual values of the financial security indicators of Ukraine as a whole and its separate components had been carried out. Threats to Ukraine's financial security were identified based on comparative and trend analysis. Reasons for the critical state of debt, banking and monetary security in the financial structure and the preconditions for the emergence of systemic threats had been investigated. Systematization of risks and threats to Ukraine's financial security by its components had been carried out. Influence of systemic threats in the financial sphere on the economic security of the state was generalized. International experience of monitoring financial stability of the state was analyzed. Additional risks to the national financial system are associated with the globalization and digitization of the state financial system that are not taken into account by valid methodological recommendations for calculating the level of economic security of Ukraine were highlighted.

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